• Information Systems Review
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• v.10 no.1
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• pp.21-45
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• 2008

Over the years a lot of organizations or enterprises are spending the majority of their IT budgets on IT resources procurement and maintenance. IT resources are typically duplicated in each Region, Division, and/or Business Unit. The biggest sources of cost savings come directly from the reduction in maintenance cost and the elimination of duplicated resources. Global corporations are investing heavily in shared services implementations in order to stay competitive in an industry environment. A number of financial services firms have turned to IT shared services to reduce the level of IT asset and infrastructure redundancies. Recently, Korean financial services industry is moving to diversification(bank, securities, insurance, etc.) and consolidation(M&A, strategic alliance, etc.), and wants the elimination of duplicated IT resources. This research is intended to find out and demonstrate the factors having a significant effect on adoption of IT shared services center in finance services industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.2
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• pp.23-47
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• 2007

Since 1998, Korean economy has damaged financial structural coordination from business firms to financial institutions. The monetary circumstances, the faithless management in financial institution, caused an usiness shrinkage. Specially, the monetary circumstances come by every year from large to small. This dissertation examines the recognition & experience of institution employee to the monetary circumstances that underlie the announcement effects. The sample of this study consists of 201 survey which have 1st and 2nd financial institution from Gyeungnam to Seoul. To examine and identify factors that the Recognition & Experience of the Monetary Circumstances this study uses t-test, ANOVA, multiple regression. The variables SEX, AFF, FRA show expected signs and are statistically significant. The variables MAR, SCH, PER, POS, LEN and REC were turned out to be insignificant. The above results suggest that institution employee, which have male, take part lending in affairs and uneasy home status, have more recognize to the financial circumstances.

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.167-184
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• 2007

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut-down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t-test is used to identify the differences in financial variables between the distressed group and the non-distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990$\sim$1993), period 2(1994$\sim$1997), period 3(1998$\sim$2002). The final model built from whole sample appled each three sub-samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub-sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.

• The Journal of Fisheries Business Administration
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• v.39 no.2
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• pp.61-79
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• 2008

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut - down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t - test is used to identify the differences in financial variables between the distressed group and the non - distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990 - 1993), period 2(1994 - 1997), period 3(1998 - 2002). The final model built from whole sample appled each three sub - samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub - sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.

• East Asian Economic Review
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• v.25 no.3
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• pp.273-309
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• 2021

The development of regulatory systems varies between transition and non-transition economies. This suggests that they provide different incentives for entrepreneurial development and could have varied effects on the economy because they have different methods to deal with market failure. However, limited empirical evidence exists to prove the assumption of dichotomy. Using comprehensive data for institutional quality, labor market and financial market development, this research sought to analyze their effect on employment growth at micro level. The results show that the quality of institutions in transition economies are poorer relative to those in non-transition economies, but their financial and labor markets are more developed than the latter. Further analysis for the transition sample shows that the three variables are individually positively related with employment growth. For the non-transition sample, institutional quality and labor market flexibility bear a positive and significant effect on employment. Financial market development enters the model with a negative coefficient when regressed alone, but a joint test of significance finds that all the variables have a positive effect on employment growth. This result could imply that there is interdependence between institutional quality, labor flexibility and financial market development in firm-employment-growth relationship, or complementarity between regulations and the quality of institutions. Alternatively, this finding suggests that a stringently regulated credit market in non-transition economies have a selection effect-allocating credit only to entrepreneurs who already demonstrate strong growth potential. In sum, despite differences in the evolution of regulatory environment between the two samples, both of them complement employment growth at firm level. The overall implication of these findings is that less rigid regulations and coherent policies that are enforced with impartiality provide incentives for firms to expand.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.233-241
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• 2019

The purpose of this study is to empirically analyze whether the influence of foreign investors from the monitoring role in Korean capital market is observed differently in accordance with the global financial crisis situation. We collected a total of 2,919 firm data from 2003 to 2015 and performed the empirical tests between foreign investor ownership and firms' cost of equity capital separately according to the situation of the global financial crisis. From the empirical results, foreign investors in general were playing a positive function in the Korean capital market by effectively performing the monitoring role for companies. However, we observed that their monitoring role is not effectively performed when the risk level of capital market is maximized, such as during the global financial crisis. The study suggested that the influence of foreign investors may vary depending on the level of risk in the capital market, which is expected to contribute to the market participants and academia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.873-882
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• 2021

The study investigates the key factors that affect the adoption of the International Financial Reporting Standards (IFRS) by companies listed on Ho Chi Minh Stock Exchange (HOSE) in Vietnam. The factors that are studied in this research include total debt-to-equity ratio, firm size, return-on-equity ratio, audit quality, foreign investment, and financial institution category. The authors have utilized quantitative and qualitative analyses in combination with a logistics regression model and other available analytical tools for conducting the research. All statistics processed in the paper were based on 379 audited financial statements issued in 2018. The results reveal that factors like firm size, return on equity (ROE), audit quality, foreign investment, and financial institution category positively affect the IFRS adoption of HOSE-listed companies, while total debt-to-equity ratio negatively impacts the adoption. The findings suggest Vietnamese law and policy-makers, when promoting the adoption of IFRS by listed companies, should focus more on five variables with positive influence and they can disregard the total debt-to-equity ratio that is insignificant as a factor affecting the adoption of IFRS. This implication could be applied for other firms in Vietnam and for enterprises in other countries, which are in the same stage of IFRS application.

• Journal of Platform Technology
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• v.11 no.5
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• pp.37-48
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• 2023

Since the announcement of the Financial Services Commission's 'Token Securities Issuance and Distribution System Improvement Plan' in February 2023, financial institutions, securities firms, and blockchain companies have been actively considering implementing IT platforms, but they are facing difficulties in selecting IT platforms for token securities because related legal regulations have not yet been clearly established. As a result, the need for rational and systematic criteria for the selection of blockchain-based token securities IT platforms has emerged, and this study explores and evaluates the key factors of token securities IT platform selection. Four factors were identified as the top-level factors, including 'maturity of the platform', 'operation and management of the platform', 'cost of introducing and maintaining the platform', and 'regulatory compliance for token securities', and 17 factors were identified as sub-level factors, including 'diversity', 'user authentication management', 'Adoption Costs', and 'financial regulations'. Among the 17 sub-factors, 'government financial regulation' and 'personal information protection' are selected as important factors, and the results of this study can help related organizations and financial companies make strategic decisions by providing systematic decision-making criteria for selecting token securities IT platforms.

• Korean Security Journal
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• no.17
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• pp.109-129
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• 2008

The purpose of this study is to analyze the relationship of market orientation, and business performance in the security firms. To achieve the goal of the study, it has used various methods to study. First of all, it has carried out documentary surveys through literatures review on market orientation and business performance of the security firms, and practical researches side by side. In the documentary surveys, it has developed the framework of study and questionnaires based on the domestic and foreign books, theses, materials of public institutions, and other materials. In the practical researches, basing on the selected study models and hypotheses, it has selected 15 security companies which are located in Seoul, Gyeonggi and Chungcheong Provinces with the stratified cluster random sampling method. It has polled the employees of the security companies for about 2 months from 5 August to 10 October 2006, distributing 20$\sim$50 pieces per company. It has distributed 600 pieces and used 565 pieces for analysis excepting unfaithful 35 pieces. The collected questionnaires were analyzed by SPSSWIN 14.0 program. and The methods to analyze the materials were factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and path analysis through regression analysis. The results obtained from the study using analysis methods above are as follows. Finally, market orientation influences on business performance. In other words, the higher market orientation is, the better financial and non financial outcomes are.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4863-4873
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• 2014

The Korean construction industry has played a major role among all industries despite its relative small ratio of all. The global economic crisis, however, has adversely affected the construction industry. Therefore, the Korean government implemented a corporate restructuring process to ensure the stability of the financial market. The selection standard on workout enterprises by the government is based on two perspectives: (1) external factors, including macroeconomic indices and (2) internal factors, including financial statements of private enterprises. On the other hand, if considering the characteristics of the construction industry, a certain construction company may not be evaluated only by its financial statements. In other words, a valuation process that utilizes the financial statements only can be concluded to be irrational. Accordingly, this study aims to provide the valuation model, which embraces the characteristics of workout firms, and determines their implications. To accomplish this, each enterprise valuation was measured using DCF and Black Scholes models, and by comparing such results with their market value, each enterprise was determined to be either under or over-valued. The results of this study verified that the valuations of 2 workout companies (out of 4) showed a higher value than the market value.